Staff Machine Learning Engineer (Modeling), Support
Lead end-to-end delivery of ML initiatives, partner with cross-functional leaders on ML roadmaps, guide AI strategy, research chatbot architectures, deploy conversational models, build ML-powered support tools, and represent technical programs to stakeholders.
Responsibilities
- Lead the end-to-end delivery of multiple ML initiatives from planning and design through rollout, documentation, and long-term maintenance.
- Partner with risk, product, engineering, design, and operations leaders to define and drive long-term ML roadmaps.
- Guide team direction, identify ML and AI opportunities, and advise leadership on strategic tradeoffs.
- Drive R&D on chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference.
- Design, deploy, and maintain ML models powering conversational agents and support chatbots.
- Develop ML-powered tools and real-time recommendation systems to improve support agent effectiveness and customer outcomes.
- Represent the team’s systems and programs to stakeholders, cross-functional partners, and external audiences.
Requirements
- 10+ years of experience in machine learning, applied AI, or product ML roles.
- Demonstrated leadership and ability to influence and align cross-functional teams.
- Track record of organizational-wide impact across multiple teams or functions.
- Ability to ship end-to-end ML features from problem framing through deployment and maintenance.
- Experience with language models, dialog systems, or generative AI in production.
- Strong foundation in NLP, deep learning, or ML infrastructure best practices.
- Excellent communication skills with leadership and stakeholders.
- Enthusiasm for R&D and advancing applied AI for conversational systems.
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning